Senior Data Scientist

About the role

Our team delivers predictive intelligence that drives revenue growth decisions. We collaborate across data engineering, product, and go-to-market functions. We exist to turn product usage data into actionable business outcomes. Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations R

Responsibilities

• Building and deploying end-to-end machine learning models - from exploration through production - that score customer expansion likelihood and churn risk, directly informing revenue strategy.
• Designing and maintaining automated pipelines for model retraining, monitoring, and incident response, ensuring prediction accuracy and system reliability at scale.
• Partnering with engineering and product teams to define telemetry schemas and data contracts, ensuring high-quality inputs that support longitudinal user behavior modeling.
• Conducting exploratory analyses and experiments to diagnose conversion changes, validate product hypotheses, and deliver actionable recommendations to senior leadership.
• Communicating findings and model outcomes to cross-functional stakeholders, translating complex results into clear narratives that guide sales, product, and customer success decisions.

Requirements

• 7+ years in product analytics or applied data science
• Demonstrate deep proficiency in Python (including ML libraries) and SQL for data modeling, analysis, and production model development.
• Show experience building, deploying, and monitoring machine learning models in production environments with real business impact.
• Apply solid foundations in statistics, experimentation design, and causal inference to ambiguous business problems.
• Exhibit experience working with product telemetry or event-stream data to model user behavior and lifecycle transitions.
• Communicate complex technical findings clearly to non-technical stakeholders, including senior leadership.
• Operate MLOps platforms (such as MLflow, SageMaker, or Vertex AI) and data transformation tools (such as dbt or Snowflake), or demonstrate equivalent practical experience.
• Bring experience with model serving frameworks, data quality tooling, or observability platforms in a SaaS environment.
• Guide early-career team members through code review, pairing, and knowledge sharing to elevate collective team capability.
• Salary Range or On Target Earnings:
• Minimum:
• $124,000.00
• Maximum:
• $271,200.00
• In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
• Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
• We also have a location based compensation structure; there may be a different range for candidates in this and other locations
• At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!
• Anticipated Position Close Date:
• 06/10/26
• Ways of Working
• Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

Benefits

Additional Information

Immigration sponsorship is not available for this position . What you can expect You will build production machine-learning systems that predict customer growth and retention signals. You will partner across engineering, sales, and product teams using scalable MLOps practices. You will directly influence revenue strategy through automated, data-driven scoring and insights.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Zoom? Share your experience